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Remote Systems Engineer Jobs in Nevada (NOW HIRING)

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Systems Engineer I

Las Vegas, NV · On-site +1

Systems Engineer I As a Systems Engineer I, you will support the deployment, maintenance, and ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Motional

Machine Learning Systems Engineer

Las Vegas, NV · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Link Technologies

Senior Database Engineer

Las Vegas, NV · Remote

$101K - $137K/yr

PREFERRED Degree in Computer Science, Electrical Engineering, or an equivalent engineering field ... Advanced knowledge of Linux operating systems and capable of using SSH to access remote systems ...

Vay

Senior Backend Engineer

Las Vegas, NV · On-site +1

Why this role is exciting At Vay, we're revolutionizing mobility with cutting-edge remote driving ... Cloud & Distributed Systems : Solid understanding of cloud-native architectures, distributed ...

New

Ocean Spray

Environmental Engineer

Henderson, NV · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Oversee and provide technical expertise for environmental systems, including wastewater treatment ...

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All JobsSystems Engineer JobsRemote Systems Engineer JobsRemote Systems Engineer Jobs in Nevada

Remote Systems Engineer information

See Nevada salary details

$54.5K

$129.5K

$170.1K

How much do remote systems engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote systems engineer in Nevada is $129,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $159,900.00 per year, depending on experience, location, and employer.

What is a Remote Systems Engineer?

A Remote Systems Engineer is an IT professional who designs, implements, manages, and maintains computer systems and networks for organizations while working from a remote location. They ensure that systems are reliable, secure, and perform optimally, often troubleshooting issues and deploying updates without being physically present onsite. Remote Systems Engineers typically use remote access tools to monitor systems, collaborate with teams, and provide technical support. Their work is essential for companies with distributed workforces or cloud-based infrastructure.

What Does a Remote Systems Engineer Do?

The job of a remote systems engineer is to develop, test, and maintain a computer network system for a company. Your duties include implementing updates, handling technical issues (including connectivity issues and VPN setup), performing system administration tasks, documenting changes, preparing reports, and developing new infrastructure as needed. Your responsibilities as a remote systems engineer are to ensure the software system and network connectivity meet the needs of the business environment and provide user support. This is a work from home position that involves coordinating with IT and management.

How does a Remote Systems Engineer typically collaborate with on-site IT teams and other departments?

As a Remote Systems Engineer, you will frequently coordinate with on-site IT staff and cross-functional teams through virtual meetings, project management tools, and shared documentation. Effective communication and clear documentation are crucial, as you may not be physically present to troubleshoot or implement solutions. You can expect to rely heavily on remote access tools and cloud-based platforms to monitor, maintain, and update systems. Building strong relationships with team members and setting clear expectations helps ensure seamless collaboration and project success, even from a distance.

What are the key skills and qualifications needed to thrive as a Remote Systems Engineer, and why are they important?

To thrive as a Remote Systems Engineer, you need a strong background in computer science, systems administration, and network management, often supported by a relevant degree or certifications such as CompTIA Network+ or Microsoft Certified: Azure Administrator. Proficiency with cloud platforms (e.g., AWS, Azure), automation tools (like Ansible or Puppet), and monitoring systems is typically required. Excellent problem-solving, communication, and time-management skills help in collaborating with distributed teams and resolving issues independently. These skills and qualities are crucial for maintaining reliable system operations and ensuring seamless remote support in a distributed work environment.
More about Remote Systems Engineer jobs
What are the most commonly searched types of Systems Engineer jobs in Nevada? The most popular types of Systems Engineer jobs in Nevada are:
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What cities in Nevada are hiring for Remote Systems Engineer jobs? Cities in Nevada with the most Remote Systems Engineer job openings:
Remote Systems Engineer jobs near you
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Las Vegas, NV • On-site, Remote

Other

Re-posted 28 days ago

Job description

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:

  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply